Particle-1 is a post-trained version of DeepSeek V4.1 Flash, available through an API; Particle says it used fewer tokens across four software and data-engineering benchmarks.
By [Ryan Merket](https://runtimewire.com/author/ryan-merket)
· Published
Primary source: [x.com](https://x.com/Suhail/status/2115497949421883648)
Why it matters #
Particle is selling efficiency gained through post-training while charging the same per-token rates as its base model. Its launch tests whether lower token use on coding tasks can give Particle a durable API advantage.
Suhail Doshi launched Particle on October 28th with Particle-1, a developer-focused model that the company says completed coding and data-engineering tasks using fewer output tokens than its underlying model. Doshi saw the need for product-usage analytics while interning at Slide, then co-founded Mixpanel. He later founded Playground, an AI creative-tools company. Particle moves him into model training and inference infrastructure.…
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